Loading…
Gender bias in the Erasmus network of universities
The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gender bias. Female students participate to the program more than...
Saved in:
Published in: | Applied network science 2020-09, Vol.5 (1), p.64-64, Article 64 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553 |
---|---|
cites | cdi_FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553 |
container_end_page | 64 |
container_issue | 1 |
container_start_page | 64 |
container_title | Applied network science |
container_volume | 5 |
creator | Benedictis, Luca De Leoni, Silvia |
description | The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gender bias. Female students participate to the program more than male students. This work quantifies the gender bias in the Erasmus program between 2008 and 2013, using novel data at the university level. It describes the structure of the program in great detail, carrying out the analysis across fields of study, and identifies key universities as senders and receivers. In addition, it tests the difference in the degree distribution of the Erasmus network along time and between genders, giving evidence of a greater density in the female Erasmus network with respect to the one of the male Erasmus network. |
doi_str_mv | 10.1007/s41109-020-00297-9 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_cb0755f8045941bf83a5b2f3b62757fa</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_cb0755f8045941bf83a5b2f3b62757fa</doaj_id><sourcerecordid>2442689578</sourcerecordid><originalsourceid>FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553</originalsourceid><addsrcrecordid>eNp9kU1PFTEUhhujEYL8ARdmEjduBvv9sTExBJGExI2um7Zzeul17hTbGYj_3l4GEFy4atPz9DmnfRF6S_AJwVh9rJwQbHpMcY8xNao3L9AhZZL3mlL98sn-AB3XusWNwpQxJV-jA0aNYEbJQ0TPYRqgdD652qWpm6-gOyuu7pbaTTDf5vKzy7FbpnQDpaY5QX2DXkU3Vji-X4_Qjy9n30-_9pffzi9OP1_2QRI2914NgWgWCefBUTdoQpSKUTrwlDvNmRB-ABCcac61GkRQ0mtpGiJcFIIdoYvVO2S3tdcl7Vz5bbNL9u4gl411ZU5hBBs8VkJEjbkwnPiomROeRuYlVUJF11yfVtf14ncwBJjm4sZn0ueVKV3ZTb6xihuslGmCD_eCkn8tUGe7SzXAOLoJ8lIt5ZxLzAzXDX3_D7rNS5naV-0pKrURak_RlQol11ogPg5DsN0nbNeEbYvN3iVs91O8e_qMxysPeTaArUBtpWkD5W_v_2j_AMsar9g</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2442689578</pqid></control><display><type>article</type><title>Gender bias in the Erasmus network of universities</title><source>Publicly Available Content Database</source><source>Springer Nature - SpringerLink Journals - Fully Open Access </source><source>Coronavirus Research Database</source><creator>Benedictis, Luca De ; Leoni, Silvia</creator><creatorcontrib>Benedictis, Luca De ; Leoni, Silvia</creatorcontrib><description>The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gender bias. Female students participate to the program more than male students. This work quantifies the gender bias in the Erasmus program between 2008 and 2013, using novel data at the university level. It describes the structure of the program in great detail, carrying out the analysis across fields of study, and identifies key universities as senders and receivers. In addition, it tests the difference in the degree distribution of the Erasmus network along time and between genders, giving evidence of a greater density in the female Erasmus network with respect to the one of the male Erasmus network.</description><identifier>ISSN: 2364-8228</identifier><identifier>EISSN: 2364-8228</identifier><identifier>DOI: 10.1007/s41109-020-00297-9</identifier><identifier>PMID: 32953976</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Bias ; Colleges & universities ; Complexity ; Computer Appl. in Social and Behavioral Sciences ; Computer Science ; Degree distribution ; Erasmus ; Gender ; Gender bias ; Global flow of commodity ; Human bias ; knowledge ; money ; Network Analysis ; people ; Simulation and Modeling ; Students</subject><ispartof>Applied network science, 2020-09, Vol.5 (1), p.64-64, Article 64</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020.</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553</citedby><cites>FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2442689578?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32953976$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Benedictis, Luca De</creatorcontrib><creatorcontrib>Leoni, Silvia</creatorcontrib><title>Gender bias in the Erasmus network of universities</title><title>Applied network science</title><addtitle>Appl Netw Sci</addtitle><addtitle>Appl Netw Sci</addtitle><description>The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gender bias. Female students participate to the program more than male students. This work quantifies the gender bias in the Erasmus program between 2008 and 2013, using novel data at the university level. It describes the structure of the program in great detail, carrying out the analysis across fields of study, and identifies key universities as senders and receivers. In addition, it tests the difference in the degree distribution of the Erasmus network along time and between genders, giving evidence of a greater density in the female Erasmus network with respect to the one of the male Erasmus network.</description><subject>Bias</subject><subject>Colleges & universities</subject><subject>Complexity</subject><subject>Computer Appl. in Social and Behavioral Sciences</subject><subject>Computer Science</subject><subject>Degree distribution</subject><subject>Erasmus</subject><subject>Gender</subject><subject>Gender bias</subject><subject>Global flow of commodity</subject><subject>Human bias</subject><subject>knowledge</subject><subject>money</subject><subject>Network Analysis</subject><subject>people</subject><subject>Simulation and Modeling</subject><subject>Students</subject><issn>2364-8228</issn><issn>2364-8228</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kU1PFTEUhhujEYL8ARdmEjduBvv9sTExBJGExI2um7Zzeul17hTbGYj_3l4GEFy4atPz9DmnfRF6S_AJwVh9rJwQbHpMcY8xNao3L9AhZZL3mlL98sn-AB3XusWNwpQxJV-jA0aNYEbJQ0TPYRqgdD652qWpm6-gOyuu7pbaTTDf5vKzy7FbpnQDpaY5QX2DXkU3Vji-X4_Qjy9n30-_9pffzi9OP1_2QRI2914NgWgWCefBUTdoQpSKUTrwlDvNmRB-ABCcac61GkRQ0mtpGiJcFIIdoYvVO2S3tdcl7Vz5bbNL9u4gl411ZU5hBBs8VkJEjbkwnPiomROeRuYlVUJF11yfVtf14ncwBJjm4sZn0ueVKV3ZTb6xihuslGmCD_eCkn8tUGe7SzXAOLoJ8lIt5ZxLzAzXDX3_D7rNS5naV-0pKrURak_RlQol11ogPg5DsN0nbNeEbYvN3iVs91O8e_qMxysPeTaArUBtpWkD5W_v_2j_AMsar9g</recordid><startdate>20200915</startdate><enddate>20200915</enddate><creator>Benedictis, Luca De</creator><creator>Leoni, Silvia</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20200915</creationdate><title>Gender bias in the Erasmus network of universities</title><author>Benedictis, Luca De ; Leoni, Silvia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bias</topic><topic>Colleges & universities</topic><topic>Complexity</topic><topic>Computer Appl. in Social and Behavioral Sciences</topic><topic>Computer Science</topic><topic>Degree distribution</topic><topic>Erasmus</topic><topic>Gender</topic><topic>Gender bias</topic><topic>Global flow of commodity</topic><topic>Human bias</topic><topic>knowledge</topic><topic>money</topic><topic>Network Analysis</topic><topic>people</topic><topic>Simulation and Modeling</topic><topic>Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Benedictis, Luca De</creatorcontrib><creatorcontrib>Leoni, Silvia</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Applied network science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benedictis, Luca De</au><au>Leoni, Silvia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gender bias in the Erasmus network of universities</atitle><jtitle>Applied network science</jtitle><stitle>Appl Netw Sci</stitle><addtitle>Appl Netw Sci</addtitle><date>2020-09-15</date><risdate>2020</risdate><volume>5</volume><issue>1</issue><spage>64</spage><epage>64</epage><pages>64-64</pages><artnum>64</artnum><issn>2364-8228</issn><eissn>2364-8228</eissn><abstract>The Erasmus Program (EuRopean community Action Scheme for the Mobility of University Students), the most important student exchange program in the world, financed by the European Union and started in 1987, is characterized by a strong gender bias. Female students participate to the program more than male students. This work quantifies the gender bias in the Erasmus program between 2008 and 2013, using novel data at the university level. It describes the structure of the program in great detail, carrying out the analysis across fields of study, and identifies key universities as senders and receivers. In addition, it tests the difference in the degree distribution of the Erasmus network along time and between genders, giving evidence of a greater density in the female Erasmus network with respect to the one of the male Erasmus network.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32953976</pmid><doi>10.1007/s41109-020-00297-9</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2364-8228 |
ispartof | Applied network science, 2020-09, Vol.5 (1), p.64-64, Article 64 |
issn | 2364-8228 2364-8228 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_cb0755f8045941bf83a5b2f3b62757fa |
source | Publicly Available Content Database; Springer Nature - SpringerLink Journals - Fully Open Access ; Coronavirus Research Database |
subjects | Bias Colleges & universities Complexity Computer Appl. in Social and Behavioral Sciences Computer Science Degree distribution Erasmus Gender Gender bias Global flow of commodity Human bias knowledge money Network Analysis people Simulation and Modeling Students |
title | Gender bias in the Erasmus network of universities |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-03T10%3A55%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Gender%20bias%20in%20the%20Erasmus%20network%20of%20universities&rft.jtitle=Applied%20network%20science&rft.au=Benedictis,%20Luca%20De&rft.date=2020-09-15&rft.volume=5&rft.issue=1&rft.spage=64&rft.epage=64&rft.pages=64-64&rft.artnum=64&rft.issn=2364-8228&rft.eissn=2364-8228&rft_id=info:doi/10.1007/s41109-020-00297-9&rft_dat=%3Cproquest_doaj_%3E2442689578%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c613t-b7dc183f144ca2ad81177ff6aeb24a84355bdee54384487d5c76b869ff65af553%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2442689578&rft_id=info:pmid/32953976&rfr_iscdi=true |